default_stage: default_modifiers: AWQModifier: requires_calibration_data: true mappings: - smooth_layer: re:.*layers\.(3|7|11|15|19|23|27|31|35|39|43|47|51|55|59|63)\.input_layernorm$ balance_layers: ['re:.*self_attn\.q_proj$', 're:.*self_attn\.k_proj$', 're:.*self_attn\.v_proj$'] activation_hook_target: null - smooth_layer: re:.*post_attention_layernorm$ balance_layers: ['re:.*gate_proj$', 're:.*up_proj$'] activation_hook_target: null - smooth_layer: re:.*up_proj$ balance_layers: ['re:.*down_proj$'] activation_hook_target: null duo_scaling: both n_grid: 20 QuantizationModifier: config_groups: group_0: targets: ['re:.*mlp\.(gate|up|down)_proj$', 're:.*self_attn\.(q|k|v|o)_proj$', 're:.*linear_attn\.out_proj$'] weights: num_bits: 4 type: int symmetric: false group_size: 128 strategy: group block_structure: null dynamic: false actorder: null scale_dtype: null zp_dtype: torch.int8 observer: memoryless_minmax observer_kwargs: {} input_activations: null output_activations: null format: null group_1: targets: ['re:.*linear_attn\.in_proj_qkv$', 're:.*linear_attn\.in_proj_z$'] weights: num_bits: 8 type: int symmetric: true group_size: 128 strategy: group block_structure: null dynamic: false actorder: null scale_dtype: null zp_dtype: null observer: memoryless_minmax observer_kwargs: {} input_activations: null output_activations: null format: null targets: [Linear] ignore: [lm_head, 're:.*visual.*', 're:.*vision.*', 're:.*mtp.*', 're:.*linear_attn.in_proj_a$', 're:.*linear_attn.in_proj_b$'] bypass_divisibility_checks: false requires_calibration_data: false